初始化项目，由ModelHub XC社区提供模型

Model: CraftJarvis/JarvisVLA-Qwen2-VL-7B
Source: Original Platform

README.md

@@ -0,0 +1,30 @@
+---
+license: mit
+language:
+- en
+base_model:
+- Qwen/Qwen2-VL-7B
+new_version: limuyu011/JarvisVLA-Qwen2-VL-7B
+pipeline_tag: image-text-to-text
+library_name: transformers
+datasets:
+- CraftJarvis/minecraft-vla-sft
+tags:
+- VLA
+- Minecraft
+---
+## Introduction
+**JarvisVLA-Qwen2-VL-7B** is a Visual-Language-Action (VLA) model specifically tailored for the open-world game **Minecraft**. Based on human language instructions, **JarvisVLA-Qwen2-VL-7B** masters thousands of in-game skills, empowering endless creativity and interaction in Minecraft’s expansive universe!
+- Paper: [https://craftjarvis.github.io/JarvisVLA/files/jarvis_vla_draft.pdf](https://craftjarvis.github.io/JarvisVLA/files/jarvis_vla_draft.pdf)
+- Github: [https://github.com/CraftJarvis/JarvisVLA](https://github.com/CraftJarvis/JarvisVLA)
+- Project: [https://craftjarvis.github.io/JarvisVLA/](https://craftjarvis.github.io/JarvisVLA/)
+## Citation
+```
+
+@article{li2025jarvisvla,
+  title   = {JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse},
+  author  = {Muyao Li and Zihao Wang and Kaichen He and Xiaojian Ma and Yitao Liang},
+  year    = {2025}
+}
+
+```